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Michael Collins. 2013. Tagging Problems, and Hidden Markov Models. (Lecture notes). [comp542] pdf pdf google scholar
Michael Collins. 2013. The Naive Bayes Model, Maximum-Likelihood Estimation, and the EM Algorithm. (Lecture notes). [comp542] pdf pdf google scholar
Noah A. Smith. 2011. Linguistic Structure Prediction. Morgan & Claypool. [comp542, book.language, ebook] url url url pdf google scholar books
Deniz Yuret and Ergun Biçici. 2009. Modeling Morphologically Rich Languages Using Split Words and Unstructured Dependencies. In ACL-IJCNLP, Singapore, August. [ai.ku, SLM, comp542] pdf pdf google scholar
D. Jurafsky and J.H. Martin. 2009. Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. Pearson Prentice Hall. [book.language, comp542, ebook] url url pdf google scholar books
Deniz Yuret. 2008. Smoothing a Tera-word Language Model. In Proceedings of ACL-08: HLT, Short Papers, pp 141--144, Columbus, Ohio, June. Association for Computational Linguistics. [SLM, cl09bib, ai.ku, comp542] pdf google scholar
B. Pang and L. Lee. 2008. Opinion Mining and Sentiment Analysis. Now Publishers. [book.language, ebook, comp542] url pdf google scholar books
C.D. Manning, P. Raghavan and H. Schütze. 2008. Introduction to information retrieval. Cambridge University Press. [book.language, ebook, comp542] url pdf google scholar books
Deniz Yuret and Andreas Stolcke. 2007. ngram-discount(7): Notes on the N-gram smoothing implementations in SRILM. [comp542, SLM] url google scholar
Dan Jurafsky. 2007. Language Modeling. CS224S Lecture Notes. [SLM, comp542] pdf google scholar
David McAllester. 2007. Expectation Maximization. (Lecture notes). [comp542] pdf google scholar
Y. W. Teh , M. I. Jordan , M. J. Beal and D. M. Blei . 2006. Hierarchical Dirichlet Processes. Journal of the American Statistical Association, vol 101, no 476, pp 1566-1581. [Dirichlet, cl09bib, npbayes, comp542] pdf pdf pdf google scholar
Charles Sutton and Andrew McCallum. 2006. An Introduction to Conditional Random Fields for Relational Learning. In Introduction to Statistical Relational Learning. MIT Press. [comp542] pdf google scholar
Y.W. Teh. 2006. A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL, pp 985--992. Association for Computational Linguistics, Morristown, NJ, USA. [SLM, acl08smoothing, comp542] pdf google scholar
S.P. Boyd and L. Vandenberghe. 2004. Convex Optimization. Cambridge University Press. [book.ml, ebook, comp542] url url google scholar books
Kristina Toutanova, Dan Klein, Christopher D Manning and Yoram Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1, pp 173--180. Association for Computational Linguistics. [comp542] pdf google scholar
Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp 1--8. Association for Computational Linguistics. cit 1308. [comp542, perceptron] pdf annote google scholar
Andreas Stolcke. 2002. SRILM -- An Extensible Language Modeling Toolkit. In Proc. Int. Conf. Spoken Language Processing (ICSLP 2002). [SLM, comp542] pdf google scholar
Bo Pang, Lillian Lee and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp 79--86. Association for Computational Linguistics. [nlpcourse, comp542] pdf annote google scholar
Joshua Goodman. 2001. A Bit of Progress in Language Modeling, Extended Version, no MSR-TR-2001-72. Microsoft Research. [SLM, comp542] pdf google scholar
John Lafferty, Andrew McCallum and Fernando Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc. 18th International Conf. on Machine Learning, pp 282--289. Morgan Kaufmann, San Francisco, CA. [CRF, comp542] url pdf google scholar
Andrew McCallum, Dayne Freitag and Fernando CN Pereira. 2000. Maximum Entropy Markov Models for Information Extraction and Segmentation.. In ICML, pp 591--598. [comp542] pdf google scholar
Christopher D. Manning and Hinrich Schutze. 1999. Foundations of statistical natural language processing. MIT Press. [book.language, ebook, comp542] url pdf google scholar books
S.F. Chen and J. Goodman. 1999. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, vol 13, no 4, pp 359--394. Academic Press. [NLP, SLM, acl08smoothing, cl09bib, comp542] pdf google scholar
Andrew McCallum, Kamal Nigam, et al. 1998. A comparison of event models for naive bayes text classification. In AAAI-98 workshop on learning for text categorization, vol 752, pp 41--48. Citeseer. [comp542] url pdf abstract google scholar
Lawrence Saul and Fernando Pereira. 1997. Aggregate and mixed-order Markov models for statistical language processing. In Proceedings of the second conference on empirical methods in natural language processing, pp 81--89. Somerset, New Jersey: Association for Computational Linguistics. [comp542] pdf google scholar
Michael Collins. 1997. The EM algorithm. A review of three papers: (Dempster, Laird and Rubin 1977), (Wu 1983), and (Jamshidian and Jennrich 1993).. [comp542] ps pdf google scholar
Adwait Ratnaparkhi. 1996. A maximum entropy model for part-of-speech tagging. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. [NLP, comp542] pdf google scholar
David J. C. Mackay and Linda C. Bauman Peto. 1995. A hierarchical Dirichlet language model. Natural Language Engineering, vol 1, no 3, pp 1--19. [NLP, SLM, acl08smoothing, comp542] pdf pdf google scholar
Ann Bies, et al. 1995. Bracketing guidelines for Treebank II style, Penn Treebank Project. [comp542] pdf pdf google scholar
Mitchell P. Marcus, et al. 1994. The Penn Treebank: Annotating predicate argument structure. In ARPA Human Language Technology Workshop, March. [NLP, comp542] pdf pdf google scholar
Mitchell P. Marcus, Beatrice Santorini and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, vol 19, no 2, pp 313--330. [NLP, comp542] pdf google scholar
Peter F. Brown, et al. 1992. Class-based n-gram models of natural language. Computational Linguistics, vol 18, no 4, pp 467-479. [NLP, SLM, comp542] pdf google scholar
Beatrice Santorini. 1990. Part-of-Speech Tagging Guidelines for the Penn Treebank Project. [comp542] pdf pdf google scholar
Lawrence Rabiner and B Juang. 1986. An introduction to hidden Markov models. ASSP Magazine, IEEE, vol 3, no 1, pp 4--16. IEEE. [comp542] pdf google scholar

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